Instructions to use mlx-community/Lens-3.8B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Lens-3.8B-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Lens-3.8B-4bit mlx-community/Lens-3.8B-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 666 Bytes
5788902 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | {
"_class_name": "LensTransformer2DModel",
"_diffusers_version": "0.37.1",
"attention_head_dim": 64,
"axes_dims_rope": [
8,
28,
28
],
"enc_hidden_dim": 2880,
"gate_mlp": true,
"in_channels": 128,
"inner_dim": 1536,
"multi_layer_encoder_feature": true,
"num_attention_heads": 24,
"num_layers": 48,
"out_channels": 32,
"patch_size": 2,
"rms_norm": true,
"selected_layer_index": [
5,
11,
17,
23
],
"mlx_format": true,
"quantization": {
"group_size": 64,
"bits": 4,
"keep_hi_precision": [
"img_in",
"txt_in",
"proj_out",
"time_text_embed",
"norm_out"
]
}
} |